For example, a support vector machine (SVM) was used to construct a 28-day prognostic model for ACLF (11), predict the prognosis of liver transplantation for ACLF via a decision tree (DT) model (12), predict the prognostic status of acetaminophen-induced acute liver failure via a random forest (RF) model (13), construct a predictive model for liver failure after hepatic cancer resection using logistic regression (LR) (14), and apply the k-nearest neighbors (KNN) algorithm to construct a biomolecular mapping model of albumin to identify acute liver failure severity (15). This evidence concerns the gene ALB and acute liver failure.